This is the README.Rmd file for the Katacoda scenarios. All the scenarios and courses can be found on my profile page here.

Scenario 1: Format and shape your data with R in the tidyverse

intro

This introduces the tidyverse and gives a little preview of what is to come.

step 1

Step 1 covers how to install and load packages in R (install.packages() and library()). It also covers some basic information about functions.

step 2

This covers the Bob Ross dataset from 538, and using the BobRoss <- fivethirtyeight::bob_ross function to create a dataset in R.

step 3

Here we cover loading data into R from the fivethirtyeight package with tibble::tribble().

step 4

This introduces tidyr and dplyr::glimpse().

step 5

We create a tidy dataset with pivot_longer().

Here are the original data arrangements

A tidier version of the same data.

step 6

We revert to the wide dataset with tidyr::pivot_wider()

step 7

We split a column with tidyr::separate()

step 8

We bring two columns back together with tidyr::unite()

step 9

We change the format of a variable with dplyr::mutate()

step 10

We create a new variable based on a condition with dplyr::if_else() and dplyr::mutate().

step 11

We create a new variable based on multiple conditions with dplyr::case_when() and dplyr::mutate().

step 12

We combine creating new variables with reshaping to check our work (dplyr::case_when() and dplyr::mutate(), then dplyr::count, and tidyr::pivot_wider()).

finish

Wrap up.

Scenario 2: Build beautiful, customized graphs and charts in R with ggplot2

Scenario 3: Combine narrative with numbers for effective storytelling in R